Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/244748
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DC FieldValueLanguage
dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2019-05-27T05:40:48Z-
dc.date.available2019-05-27T05:40:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/244748-
dc.description.abstractnone
dc.format.extent-
dc.languageEnglish
dc.relationno. of references 103
dc.rightsuniversity
dc.titleA novel approach for information extraction using weighing and sentence symmetric feature methods
dc.title.alternative-
dc.creator.researcherSelvani, Deepthi K
dc.subject.keywordData mining techniques
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Information Systems
dc.subject.keywordInformation extraction
dc.subject.keywordText mining
dc.description.notebibliography given
dc.contributor.guideRadhika Y
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File36.26 kBAdobe PDFView/Open
02_certificate.pdf.pdf142.66 kBAdobe PDFView/Open
03_acknowledgements.pdf127.92 kBAdobe PDFView/Open
04_contents.pdf193.14 kBAdobe PDFView/Open
05_preface.pdf84.1 kBAdobe PDFView/Open
06_list of figures and tables.pdf104.4 kBAdobe PDFView/Open
07_chapter 1.pdf407.42 kBAdobe PDFView/Open
08_chapter 2.pdf364.17 kBAdobe PDFView/Open
09_chapter 3.pdf605.82 kBAdobe PDFView/Open
10_chapter 4.pdf1.49 MBAdobe PDFView/Open
11_chapter 5.pdf176.24 kBAdobe PDFView/Open
12_references.pdf343.14 kBAdobe PDFView/Open


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